Question

Write the meaning of temporal classification with an example

Answer 1

Answer:

Temporal classification is a task of classification of sequences (time series data) into given categories.

Hope this helps you

Answer 2

Answer:

Temporal classification: Time is used as a classification variable, and data is categorised according to it. Time can be measured in hours, weeks, years, or other units.

Explanation:

• Many real-world datasets aren't static, and therefore can't be represented as a set of fixed features.
• Rather, the examples are expressed as temporally varying features, with the temporal variation serving as the basis for classification.
• Consider a simple gesture recognition domain with only temporal features such as hand location, finger bending, and so on. Looking at the location of the hand at one moment in time is unlikely to result in a good classification; recognition is only achievable through analysing changes in position.
• A novel temporal categorization technique it can use background knowledge and represent taught concepts in terms of background knowledge by extracting sub-events from training examples and parameterizing them to facilitate feature creation for a subsequent learning phase.
• A temporal learner capable of producing comprehensible and accurate multivariate time series classifiers from a small number of instances and incorporating non-temporal features; a feature construction technique that parameterizes sub-events of the training set and clusters them to construct features for a propositional learner; and a technique for post-processing classification rules produced by the learner to give a comprehensible description express.

Hence, it is the task of classification of sequences (time series data) into given categories is called temporal classification.

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